> Markdown version of [/jobs/ext/4062054-ai-solutions-engineer](https://www.wearedevelopers.com/jobs/ext/4062054-ai-solutions-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Engineer - **Company:** Nucor - **Location:** Dallas, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, C Sharp (Programming Language), Code Generation, Information Systems, Python (Programming Language), Azure Machine Learning, Data Streaming, Systems Integration, TypeScript, Data Processing, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Agentic-AI, AI Platforms, Information Technology, Production Code, Data Pipelines, Programming Languages - **Published:** October 1, 2026 - **Apply:** https://jobs.nucor.com/talentcommunity/apply/1435568300/?locale=en_US ## About the Role Safety is the most important part of all jobs within Nucor; therefore, candidates must be able to demonstrate the ability to initiate, lead, and uphold safety policies, practices, procedures, and housekeeping standards at all times., * Bachelor's degree in Computer Science, Engineering, Information Systems, or similar, or equivalent practical experience. * 4+ years of experience in a technical role such as Software Engineer, Solutions Engineer, AI/ML Engineer, Systems Analyst, or Technical Consultant. * Proficiency in Python and experience with at least one additional programming language (e.g., JavaScript/TypeScript, Java, C#). * Proven ability to design and deploy production applications, integrations, and data/AI solutions end-to-end, including pipelines and operationalization. * Demonstrated experience building with LLMs or AI services in a production context at enterprise scale, not limited to prototypes or proofs of concept. * Working knowledge of enterprise systems, APIs and data flows. * Demonstrated success partnering with technical stakeholders across teams and business domains, running discovery, presenting findings, and driving adoption. * Familiarity with AI concepts such as prompt engineering, retrieval-augmented generation, model evaluation, or agent-based workflows., * Experience supporting or deploying AI-enabled or advanced analytics solutions at enterprise scale. * Experience with Azure AI services, particularly Azure AI Foundry, and with identity-based authentication patterns such as managed identity. * Experience creating and using MCP servers. * Experience working in an enterprise IT environment with complex, integrated systems. * Experience partnering with external vendors or solution providers. ## Description * Design, build, and operate AI-enabled internal tools and platforms used broadly across the enterprise, from model and pattern selection through production. * Develop and maintain the AI code generation platform that developers across Nucor rely on to write, review, and ship code, evolving it as models, tooling, and best practices advance. * Write and review production code as part of a development team, following enterprise engineering standards for reliability, security and maintainability. * Ground AI capabilities in Nucor's enterprise data and business rules and integrate them into applications through governed interfaces and shared services. * Define evaluation criteria for AI-generated output and build the methods that verify accuracy, reliability, and safety both before and after release. * Partner with Enterprise Architecture, internal engineering teams, and technical stakeholders to establish AI-assisted development practices and quality standards, run discovery to surface high-value AI use cases, and drive adoption across the broader engineering organization. * Apply responsible AI practices across the full lifecycle, from data handling and access control through ongoing monitoring. * Build and maintain the data pipelines and integrations that put enterprise AI solutions into production.